Ahmed Zoubeir Rahoui
@ahmedzoubeirrahoui
Aspiring data scientist with expertise in AI and cybersecurity.
What I'm looking for
I'm Ahmed Zoubeir Rahoui, a passionate data scientist currently pursuing my Engineering Degree in Data Science and Artificial Intelligence. My academic journey began with a Bachelor's Degree in Networks and Telecommunications, which laid a strong foundation for my technical skills. I have a keen interest in artificial intelligence and its applications, particularly in cybersecurity and natural language processing.
Throughout my internships, I have gained hands-on experience in developing innovative solutions. At Dhari, I created a Flask web app that integrates Hybrid RAG for document querying, showcasing my ability to bridge the gap between structured and unstructured data. My role as a Data Scientist Intern at APAIA Technology allowed me to conduct research in Cyber Threat Intelligence, where I fine-tuned models to enhance threat actor attribution. I thrive in collaborative environments and am dedicated to leveraging technology to solve complex problems.
Experience
Work history, roles, and key accomplishments
AI Engineer
Safran Electrical and Defense
Feb 2025 - Jun 2025 (4 months)
Developed a Flask web application that integrates Hybrid RAG for PDFs/TXTs and a SQL agent for CSV/XLSX files. This system enables natural language querying across both structured and unstructured documents, enhancing data accessibility and analysis.
Data Scientist Intern
APAIA Technology
Jun 2024 - Aug 2024 (2 months)
Conducted research in Cyber Threat Intelligence and created four datasets for testing Large Language Models (LLMs) in CTI applications. Fine-tuned models such as LLaMA and Gemini to improve threat actor attribution, enhancing the accuracy of threat intelligence.
Cybersecurity Intern
DefensyLab
Jul 2023 - Aug 2023 (1 month)
Collaborated with the cybersecurity team to integrate and optimize Snort with Splunk. This integration resulted in improved real-time monitoring and analysis of network traffic, leading to more timely and effective threat detection.
Cybersecurity Intern
Standard Sharing Software (3S)
Jan 2022 - May 2022 (4 months)
Implemented a network monitoring platform using ELK (Elasticsearch, Logstash, Kibana) stack. This platform significantly enhanced network efficiency and effectively identified various network threats, improving overall security posture.
Education
Degrees, certifications, and relevant coursework
TEK-UP University
Engineering Degree, Data Science and Artificial Intelligence
Currently pursuing an Engineering Degree specializing in Data Science and Artificial Intelligence. Developing advanced skills in data analysis, machine learning, and AI model development.
Higher Institute of Information and Communication Technologies (ISTIC)
Bachelor’s Degree, Networks and Telecommunications
Completed a Bachelor's Degree focusing on Networks and Telecommunications. Gained foundational knowledge and practical skills in network infrastructure and telecommunication systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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